Incremental Linear Discriminant Analysis for Face Recognition

  title={Incremental Linear Discriminant Analysis for Face Recognition},
  author={Haitao Zhao and Pong C. Yuen},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant analysis (LDA) is one of the popular supervised dimensionality reduction methods, and many LDA-based face recognition algorithms/systems have been reported in the last decade. However, the LDA-based face recognition systems suffer from the scalability problem. To overcome this limitation, an incremental approach is a natural… CONTINUE READING
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